Skip to content
Review Open access

Leveraging Large Language Models for IELTS Learning: A Literature Review

Aug 2026 · Applied and Computational Engineering · Vol 246, pp. 132-138 · 0 citations

TL;DR

The study finds that large language models feature high efficiency and strong customizability in IELTS teaching, and can serve as learning tools to help candidates improve their scores.

Abstract

Existing research on the application of large language models in IELTS teaching assistance is scattered and fragmented, and there is a lack of systematic reviews on the effectiveness of large models in the complete teaching process. To clarify the role and utility of large language models in the field of IELTS teaching, this paper systematically sorts out relevant studies on large models in the four aspects of listening, speaking, reading and writing, and draws conclusions in combination with the current practical requirements of the IELTS test. The study finds that large language models feature high efficiency and strong customizability in IELTS teaching, and can serve as learning tools to help candidates improve their scores. Meanwhile, they also have limitations and potential risks such as academic integrity crises and insufficient multimodal capabilities. This study enriches the research on the application of large language models in IELTS preparation, and provides references for follow-up research and teaching practice.

Read PDF

Similar papers

Conference Aug 2026

Large Language Models: A Review with its Role, Applications and Challenges & Future Directions

The use of Large Language Models (LLM) has become a key to transforming the educational landscapes and enabling intelligent, adaptive learning through the help of GPT-4 and Llama series. This paper gives an in-depth discussion of the contribution of LLMs in the field of education starting with the initial work done usi...

Chintan Chatterjee, Umang Patel, Jaydeep Vala et al. · 0 citations
Review Open access Sep 2026

An NLP-enhanced large-scale review of AI trends and research gaps in English language education

This study examined the ERIC and Scopus databases by examining 856 journal articles and provided several trends, such as keywords, the most cited papers, subject matrices, and geolocations of the articles, as well as several implications for practitioners.

Cihat Atar, Tuba Arabaci Atlamaz, Berat Doğan · 0 citations
#generative ai Open access Sep 2026

Large language models for teaching and learning in higher education: opportunities, challenges, and future directions

Five contributions that examine LLM-enhanced course recommendation, real-time prompting support, automated essay scoring, verifiable online education, and knowledge-augmented automation for higher-education services illustrate how LLMs are increasingly being used as components of educational systems rather than as stan...

Zheng-Dao Li, Jordi Conesa, Moncef Gabbouj et al. · 0 citations
Conference

Professional Use of Large Language Models - What works and what doesn't?

AI large language models (LLMs) like ChatGPT can improve the efficiency of common language generation tasks performed by engineering professionals. In this session, we draw upon emerging academic research to suggest applications of LLMs in the field of industrial and systems engineering. Our demonstrations will showcas...

Joseph H. Wilck · 0 citations
Open access Oct 2026

Expanding the role of large language models in biology assessment

T he rapid development of large language models, or LLMs, has created new opportunities to reconsider how instructors approach time-intensive tasks, such as grading and feedback. Naidu et al. provide a timely examination of this application in undergraduate biology education through their evaluation of LLM-based gradin...

Jordan A. Smink · 0 citations
Open access Aug 2026

Clause Encounters of the Third Kind: Can LLMs Replace Language Teachers?

While various organizations now actively encourage LLM use in classrooms, we still lack rigorous, systematic evaluations of how well these models actually perform the fundamental tasks of language pedagogy. This paper examines whether state-of-the-art LLMs can deliver the kind of corrective feedback and methodological...

Kristina Šekrst, A. Kovačič · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.